Office excel 2016

Microsoft Office Excel 2016 and Statistica v.10 (StatSoft Inc., Tulsa, OK, USA) were used for the statistical data processing. The results are expressed as the mean value with standard deviation. Statistica was used to detect statistically significant differences between samples for which analysis of variance (ANOVA) was performed with the Tukey post hoc test, with a value of p < 0.05 set as the limit of statistical significance.

The statistical analyses were conducted using Microsoft Office Excel 2016 and Statistica 7 (StatSoft Inc., Tulsa, OK, USA), considering a p value< 0.05 for statistical significance. First, the subjects were stratified based on sex and health status into healthy girls, healthy boys, asthmatic girls, and asthmatic boys. Before applying ANOVA, the corresponding age-related datasets were verified for normality with Anderson–Darling tests and for homoscedasticity (homogeneity of variances) with a Bartlett test. A similar approach was used for log-transformed data (decimal logarithm) for IgE levels and MBL levels. In the case of significant results, posthoc analysis was run using Tukey’s HSD tests for unequal samples. We also examined the relationships between the variables for each category of patients using Pearson’s correlations. Finally, we analyzed the differences in IgE levels and MBL levels among heathy subjects and asthmatic subjects using t tests for unequal sample sizes, as well as the correlations between these outcomes per each category of subjects. Prior to these analyses, the datasets with log-transformed data (decimal logarithm) were checked for normality and homoscedasticity with Anderson–Darling tests and with F tests, respectively.